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Found 56 Skills
Expert helper for Docker containers, Docker Compose, and container optimization
Expert-level Docker containerization, image optimization, and container orchestration. Use this skill for building efficient Docker images, managing containers, and implementing Docker best practices.
Expert knowledge for Azure AI Content Safety development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when using Content Safety APIs, Docker containers, blocklists, custom safety categories, or prompt shield, and other Azure AI Content Safety related development tasks. Not for Azure Security (use azure-security), Azure Defender For Cloud (use azure-defender-for-cloud), Azure Sentinel (use azure-sentinel), Azure Web Application Firewall (use azure-web-application-firewall).
Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.
Run commands inside a remote Docker container via the file-based command relay (tools/debugger). Use when the user says "run in Docker", "run on GPU", "debug remotely", "run test in container", "check nvidia-smi", "run pytest in Docker", or needs to execute any command inside a Docker container that shares the repo filesystem. Requires the user to have started server.sh inside the container first.
Check GPU usage on remote servers. Connect to servers via SSH, display video memory usage, running processes, and associated containers for each GPU card. Use this when the user says to check GPU, graphics card usage, or video memory usage.
Fork the current agent session into a new VM or local Docker container with all the project files, agent settings and session teleported into.
Compile TensorRT-LLM on a compute node inside a Docker container. Use this when already on a compute node with GPUs visible.